ZR__JOB

Orlando, United States | Posted on 12/01/2025

The Sr. Observability Engineer is responsible for designing, deploying, and optimizing client'senterprise observability ecosystem. This role delivers hands-on implementation and consulting expertise, focusing on Logic Monitor and modern observability practices to drive actionable insights, predictive analytics, and operational excellence across infrastructure, network, and application layers.

• Deploy, configure, and optimize Logic Monitor for enterprise-scale observability.
• Design and build custom dashboards for actionable insights and performance monitoring.
• Implement and manage data analytics workflows,including advanced scripting in Python for automation and reporting.
• Integrate and manage data pipelines leveraging Kafkaand related streaming technologies.
• Ensure seamless data flow into Grafana for visualization and monitoring.
• Develop and maintain integrations betweenobservability, ITSM (Service Now), and event management tools (Pager Duty,Slack, Big Panda).
• Standardize alert thresholds, escalation paths, and telemetry mappings across global regions.
• Define and maintain event, alert, and rule logic toensure accurate correlation and minimal noise.
• Manage data ingestion pipelines from SNMP, syslog,APIs, and third-party sources into Logic Monitor and downstream analytics systems.
• Advise on and implement AI-driven observability tools,including Amazon Bedrock, to enhance predictive analytics and anomaly detection.
• Partner with network, server, and application teams tovalidate data flows, performance metrics, and dependency mapping.
• Automate configuration and onboarding processes via APIand scripting (Python, Power Shell, REST).
• Support incident and problem management teams by correlating events across multiple tools to accelerate root cause analysis.
• Document integrations, processes, and governance modelsfor sustained operational excellence.
• Serve as technical SME supporting observability tool upgrades, testing, and cross-platform enhancements.
• Collaborate with stakeholders to align monitoring strategies with business objectives.

• Logic Monitor platform deployment, configuration, and optimization.
• Deep understanding of observability frameworks, best practices, and enterprise monitoring.
• Python scripting for data analytics, automation, and advanced reporting.
• Kafka-based data streaming and integration.
• Grafana dashboarding and visualization.
• Experience with AI platforms and emerging observabilitytechnologies, including Amazon Bedrock.
• Familiarity with ITSM and event management systems(Service Now, Pager Duty, Big Panda).
• Telemetry protocols (SNMP, syslog, Net Flow, APIs) anddata flow architecture.
• Strong understanding of alerting, correlation logic,and performance baselining.
• Excellent analytical, documentation, and communication skills; ability to work across engineering and operations teams.
• 5-10years of experience in network monitoring, observability, or infrastructure engineering roles.
• Hands-on experience with Logic Monitor, Splunk,Thousand Eyes, Datadog, Dynatrace, Cisco DNAC, and related platforms.
• Scripting and automation experience (Python,Power Shell, REST APIs)
• Looking for an expert in the Logic Monitor platform
• Customer team is decommissioning 4 platforms into
  
  Logic Monitor